The CMTF Toolbox provides tools to perform coupled matrix and tensor factorization (CMTF) and advanced CMTF (ACMTF) via gradient‐based optimization. It supports heterogeneous data in the form of matrices and tensors, missing data, nonnegativity constraints via LBFGSB, and ridge penalty options.
Evrim Acar [1]Tamara G. Kolda [2]Daniel M. Dunlavy [2]Anders J. Lawaetz [1]Morten A. Rasmussen [1]Rasmus Bro [1]Evangelos E. Papalexakis [3]Gözde Gürdeniz [4]Mathias Nilsson [5].
[1]Department of Food Science, Faculty of Science, University of Copenhagen, Frederiksberg C, Denmark[2]Sandia National Laboratories, USA[3]School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA[4]Department of Nutrition, Exercise and Sports, Faculty of Science, University of Copenhagen, Denmark[5]School of Chemistry, University of Manchester, Manchester, UK
